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Record W3006725262 · doi:10.5430/ijhe.v9n1p270

The Reality of Strategic Planning in the Faculties of Educational Sciences in Jordanian Private Universities, and Its Relation to Academic Excellence

2020· article· en· W3006725262 on OpenAlexvenueno aff

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality Function Deployment in Product Design
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceStrategic planningPopulationRelation (database)Medical educationPolitical sciencePublic relationsBusinessSociologyMedicineMarketing

Abstract

fetched live from OpenAlex

This study aimed at finding out the reality of strategic planning in the faculties of educational sciences in Jordanian private universities. A questionnaire was distributed to the study population of (84) faculty members. A total of (67) questionnaires were retrieved, seven of which were excluded. The results of analysis of the remaining (60) questionnaires indicated that the level of strategic planning in Jordanian private universities was high. Also, the level of achieving academic excellence in Jordanian private universities was high. Furthermore, there was a positive significant correlational relationship at (α ≤ 0.05) between the level of the reality of strategic planning and the level of achieving academic excellence in Jordanian private universities. The recommendations of this study included providing rewards to distinguished teaching staff at Jordanian private universities and the commendation of their efforts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.114
GPT teacher head0.356
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2020
Admission routes1
Has abstractyes

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